{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Network Traffic Forecasting (using time series data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In telco, accurate forecast of KPIs (e.g. network traffic, utilizations, user experience, etc.) for communication networks ( 2G/3G/4G/5G/wired) can help predict network failures, allocate resource, or save energy. \n",
    "\n",
    "In this notebook, we demonstrate a reference use case where we use the network traffic KPI(s) in the past to predict traffic KPI(s) in the future. We demostrate how to do **univariate forecasting** (predict only 1 series), and **multivariate forecasting** (predicts more than 1 series at the same time) using Project Zouwu.\n",
    "\n",
    "For demonstration, we use the publicly available network traffic data repository maintained by the [WIDE project](http://mawi.wide.ad.jp/mawi/) and in particular, the network traffic traces aggregated every 2 hours (i.e. AverageRate in Mbps/Gbps and Total Bytes) in year 2018 and 2019 at the transit link of WIDE to the upstream ISP ([dataset link](http://mawi.wide.ad.jp/~agurim/dataset/)). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Helper functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This section defines some helper functions to be used in the following procedures. You can refer to it later when they're used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:41.314832Z",
     "start_time": "2020-03-21T11:38:41.304299Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_drop_dates_and_len(df, target_col=\"total\",allow_missing_num=3):\n",
    "    \"\"\"\n",
    "    Find missing values and get records to drop\n",
    "    \"\"\"\n",
    "    missing_num = df[target_col].isnull().astype(int).groupby(df[target_col].notnull().astype(int).cumsum()).sum()\n",
    "    missing_num = missing_num[missing_num > 0]\n",
    "    drop_datetimes = df.iloc[(missing_num.index + missing_num.cumsum() - missing_num).values].index\n",
    "    drop_datetimes = drop_datetimes[missing_num > allow_missing_num]\n",
    "    drop_missing_num = missing_num[missing_num > allow_missing_num]\n",
    "    drop_len = drop_missing_num.values\n",
    "    return drop_datetimes, drop_len"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:46.869359Z",
     "start_time": "2020-03-21T11:38:46.861004Z"
    }
   },
   "outputs": [],
   "source": [
    "def rm_missing_weeks(start_dts, missing_lens, df):\n",
    "    \"\"\"\n",
    "    Drop weeks that contains more than 3 consecutive missing values.\n",
    "    If consecutive missing values across weeks, we remove all the weeks.\n",
    "    \"\"\" \n",
    "    for start_time, l in zip(start_dts, missing_lens):\n",
    "        start = start_time - pd.Timedelta(days=start_time.dayofweek)\n",
    "        start = start.replace(hour=0, minute=0, second=0)\n",
    "        start_week_end = start + pd.Timedelta(days=6)\n",
    "        start_week_end = start_week_end.replace(hour=22, minute=0, second=0)\n",
    "\n",
    "        end_time = start_time + l*pd.Timedelta(hours=2)\n",
    "        if start_week_end < end_time:\n",
    "            end = end_time + pd.Timedelta(days=6-end_time.dayofweek)\n",
    "            end = end.replace(hour=22, minute=0, second=0)\n",
    "        else:\n",
    "            end = start_week_end\n",
    "        df = df.drop(df[start:end].index)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:47.339185Z",
     "start_time": "2020-03-21T11:38:47.333774Z"
    }
   },
   "outputs": [],
   "source": [
    "def gen_dataset_matrix(dataset, look_back, target_col_indexes):\n",
    "    \"\"\"\n",
    "    Generate input samples from rolling\n",
    "    \"\"\"\n",
    "    X, Y = [], []\n",
    "    if len(target_col_indexes) == 1:\n",
    "        del_col_index = {0, 1}.difference(set(target_col_indexes)).pop()\n",
    "        data = np.delete(dataset, del_col_index, axis=1)\n",
    "    else:\n",
    "        data = dataset\n",
    "    for i in range(len(data) - look_back):\n",
    "        X.append(data[i: (i + look_back)])\n",
    "        Y.append(data[i + look_back, target_col_indexes])\n",
    "    return np.array(X), np.array(Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:47.739856Z",
     "start_time": "2020-03-21T11:38:47.735133Z"
    }
   },
   "outputs": [],
   "source": [
    "def unscale(scaler, y, target_col_indexes):\n",
    "    \"\"\"\n",
    "    data needs to be normalized (scaled) before feeding into models. \n",
    "    This is to inverse the effect of normlization to get reasonable forecast results.\n",
    "    \"\"\"\n",
    "    dummy_feature_shape = scaler.scale_.shape[0]\n",
    "    y_dummy = np.zeros((y.shape[0], dummy_feature_shape))\n",
    "    y_dummy[:, target_col_indexes] = y\n",
    "    y_unscale = scaler.inverse_transform(y_dummy)[:,target_col_indexes]\n",
    "    return y_unscale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:48.029787Z",
     "start_time": "2020-03-21T11:38:48.026187Z"
    }
   },
   "outputs": [],
   "source": [
    "EPSILON = 1e-10\n",
    "def sMAPE(y_true, y_pred, multioutput=\"uniform_average\"):\n",
    "    \"\"\"\n",
    "    Symmetric Mean Average Percentage Error\n",
    "    \"\"\"\n",
    "    if multioutput not in [\"raw_values\", \"uniform_average\"]:\n",
    "        raise ValueError(\"multioutput must be 'raw_values' or 'uniform_average', got {}\".format(multioutput))\n",
    "    output_errors = np.mean(100 * np.abs(y_true - y_pred)/(np.abs(y_true) + np.abs(y_pred) + EPSILON), axis=0,)\n",
    "    if multioutput == \"raw_values\":\n",
    "        return output_errors\n",
    "    return np.mean(output_errors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:48.281993Z",
     "start_time": "2020-03-21T11:38:48.277221Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_predict_actual_values(date, y_pred, y_test, ylabel):\n",
    "    \"\"\"\n",
    "    plot the predicted values and actual values (for the test data)\n",
    "    \"\"\"\n",
    "    fig, axs = plt.subplots(figsize=(16,6))\n",
    "\n",
    "    axs.plot(date, y_pred,color='red', label='predicted values')\n",
    "    axs.plot(date, y_test,color='blue', label='actual values')\n",
    "    axs.set_title('the predicted values and actual values (for the test data)')\n",
    "\n",
    "    plt.xlabel('test datetime')\n",
    "    plt.ylabel(ylabel)\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download raw dataset and load into dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we download the dataset and load it into a pandas dataframe. Steps are as below. \n",
    "\n",
    "* First, run the script `get_data.sh` to download the raw data. It will download the monthly aggregated traffic data in year 2018 and 2019 into `data` folder. The raw data contains aggregated network traffic (average MBPs and total bytes) as well as other metrics. \n",
    "\n",
    "* Second, run `extract_data.sh` to extract relavant traffic KPI's from raw data, i.e. `AvgRate` for average use rate, and `total` for total bytes. The script will extract the KPI's with timestamps into `data/data.csv`.\n",
    "\n",
    "* Finally, use pandas to load `data/data.csv` into a dataframe as shown below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:49.128702Z",
     "start_time": "2020-03-21T11:38:48.803931Z"
    }
   },
   "outputs": [],
   "source": [
    "import os \n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:49.188493Z",
     "start_time": "2020-03-21T11:38:49.175686Z"
    }
   },
   "outputs": [],
   "source": [
    "raw_df = pd.read_csv(\"data/data.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below are some example records of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:49.530000Z",
     "start_time": "2020-03-21T11:38:49.518243Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>StartTime</th>\n",
       "      <th>EndTime</th>\n",
       "      <th>AvgRate</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018/01/01 00:00:00</td>\n",
       "      <td>2018/01/01 02:00:00</td>\n",
       "      <td>306.23Mbps</td>\n",
       "      <td>275605455598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018/01/01 02:00:00</td>\n",
       "      <td>2018/01/01 04:00:00</td>\n",
       "      <td>285.03Mbps</td>\n",
       "      <td>256527692256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018/01/01 04:00:00</td>\n",
       "      <td>2018/01/01 06:00:00</td>\n",
       "      <td>247.39Mbps</td>\n",
       "      <td>222652190823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018/01/01 06:00:00</td>\n",
       "      <td>2018/01/01 08:00:00</td>\n",
       "      <td>211.55Mbps</td>\n",
       "      <td>190396029658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018/01/01 08:00:00</td>\n",
       "      <td>2018/01/01 10:00:00</td>\n",
       "      <td>234.82Mbps</td>\n",
       "      <td>211340468977</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             StartTime              EndTime     AvgRate         total\n",
       "0  2018/01/01 00:00:00  2018/01/01 02:00:00  306.23Mbps  275605455598\n",
       "1  2018/01/01 02:00:00  2018/01/01 04:00:00  285.03Mbps  256527692256\n",
       "2  2018/01/01 04:00:00  2018/01/01 06:00:00  247.39Mbps  222652190823\n",
       "3  2018/01/01 06:00:00  2018/01/01 08:00:00  211.55Mbps  190396029658\n",
       "4  2018/01/01 08:00:00  2018/01/01 10:00:00  234.82Mbps  211340468977"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data pre-processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we need to do data cleaning and preprocessing on the raw data. Note that this part could vary for different dataset. \n",
    "\n",
    "For the network traffic data we're using, the processing contains 3 parts:\n",
    "1. Convert string datetime to TimeStamp\n",
    "2. Unify the measurement scale for `AvgRate` value - some uses Mbps, some uses Gbps \n",
    "3. Handle missing data (fill or drop)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:50.305696Z",
     "start_time": "2020-03-21T11:38:50.298741Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(pd.to_datetime(raw_df.StartTime))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:50.570961Z",
     "start_time": "2020-03-21T11:38:50.565943Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Mbps', 'Gbps'], dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can find 'AvgRate' is of two scales: 'Mbps' and 'Gbps' \n",
    "raw_df.AvgRate.str[-4:].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:50.852388Z",
     "start_time": "2020-03-21T11:38:50.842579Z"
    }
   },
   "outputs": [],
   "source": [
    "# Unify AvgRate value\n",
    "df['AvgRate'] = raw_df.AvgRate.apply(lambda x: float(x[:-4]) if x.endswith(\"Mbps\") else float(x[:-4]) * 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:51.101738Z",
     "start_time": "2020-03-21T11:38:51.098219Z"
    }
   },
   "outputs": [],
   "source": [
    "df[\"total\"] = raw_df[\"total\"]\n",
    "df.set_index(\"StartTime\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:51.412172Z",
     "start_time": "2020-03-21T11:38:51.404713Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AvgRate</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>StartTime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>306.23</td>\n",
       "      <td>275605455598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 02:00:00</th>\n",
       "      <td>285.03</td>\n",
       "      <td>256527692256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 04:00:00</th>\n",
       "      <td>247.39</td>\n",
       "      <td>222652190823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 06:00:00</th>\n",
       "      <td>211.55</td>\n",
       "      <td>190396029658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 08:00:00</th>\n",
       "      <td>234.82</td>\n",
       "      <td>211340468977</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     AvgRate         total\n",
       "StartTime                                 \n",
       "2018-01-01 00:00:00   306.23  275605455598\n",
       "2018-01-01 02:00:00   285.03  256527692256\n",
       "2018-01-01 04:00:00   247.39  222652190823\n",
       "2018-01-01 06:00:00   211.55  190396029658\n",
       "2018-01-01 08:00:00   234.82  211340468977"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:51.733349Z",
     "start_time": "2020-03-21T11:38:51.727141Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "no. of n/a values:\n",
      "AvgRate    3\n",
      "total      3\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "full_idx = pd.date_range(start=df.index.min(), end=df.index.max(), freq='2H')\n",
    "df = df.reindex(full_idx)\n",
    "print(\"no. of n/a values:\")\n",
    "print(df.isna().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we drop weeks with more than 3 consecutive missing values and fill other missing values remained."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:52.567905Z",
     "start_time": "2020-03-21T11:38:52.559595Z"
    }
   },
   "outputs": [],
   "source": [
    "drop_dts, drop_len = get_drop_dates_and_len(df)\n",
    "df = rm_missing_weeks(drop_dts, drop_len, df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:52.943278Z",
     "start_time": "2020-03-21T11:38:52.940118Z"
    }
   },
   "outputs": [],
   "source": [
    "df.ffill(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the data to see how the KPI's look like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:54.068137Z",
     "start_time": "2020-03-21T11:38:53.755044Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(y='AvgRate',figsize=(16,6), title=\"AvgRate of network traffic data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:54.374455Z",
     "start_time": "2020-03-21T11:38:54.086136Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(y='total',figsize=(16,6), title=\"total bytes of network traffic data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For feature engineering, we use year, month, week, day of week and hour as features in addition to the target KPI values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:58.037030Z",
     "start_time": "2020-03-21T11:38:58.027196Z"
    }
   },
   "outputs": [],
   "source": [
    "df[\"year\"] = df.index.year\n",
    "df[\"month\"] = df.index.month\n",
    "df[\"week\"] = df.index.week\n",
    "df[\"dayofweek\"] = df.index.dayofweek\n",
    "df[\"hour\"] = df.index.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:38:58.402765Z",
     "start_time": "2020-03-21T11:38:58.392633Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AvgRate</th>\n",
       "      <th>total</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-01 00:00:00</th>\n",
       "      <td>306.23</td>\n",
       "      <td>2.756055e+11</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 02:00:00</th>\n",
       "      <td>285.03</td>\n",
       "      <td>2.565277e+11</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 04:00:00</th>\n",
       "      <td>247.39</td>\n",
       "      <td>2.226522e+11</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 06:00:00</th>\n",
       "      <td>211.55</td>\n",
       "      <td>1.903960e+11</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 08:00:00</th>\n",
       "      <td>234.82</td>\n",
       "      <td>2.113405e+11</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     AvgRate         total  year  month  week  dayofweek  hour\n",
       "2018-01-01 00:00:00   306.23  2.756055e+11  2018      1     1          0     0\n",
       "2018-01-01 02:00:00   285.03  2.565277e+11  2018      1     1          0     2\n",
       "2018-01-01 04:00:00   247.39  2.226522e+11  2018      1     1          0     4\n",
       "2018-01-01 06:00:00   211.55  1.903960e+11  2018      1     1          0     6\n",
       "2018-01-01 08:00:00   234.82  2.113405e+11  2018      1     1          0     8"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we split the dataset into train and test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:39:11.469272Z",
     "start_time": "2020-03-21T11:39:11.465475Z"
    }
   },
   "outputs": [],
   "source": [
    "test_num = 1000\n",
    "# we look back one week data which is of the frequency of 2h.\n",
    "look_back = 84\n",
    "test_split_index = test_num + look_back\n",
    "target_dim = 1\n",
    "\n",
    "#train_df\n",
    "train_df = df[:-test_num]\n",
    "test_df = df[-test_split_index:]\n",
    "test_df = test_df.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then standardize train, test data and featues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:39:12.418109Z",
     "start_time": "2020-03-21T11:39:12.223437Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "standard_scaler = StandardScaler()\n",
    "scaled_train = standard_scaler.fit_transform(train_df)\n",
    "scaled_test = standard_scaler.transform(test_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Last, we generate model input samples by sliding window along time axis. Since univariant and multivariant forcasting uses different input data shape, we prepare data for each type of forcasting respectively.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* for _univariate_ forecasting, we forecast ``AvgRate`` only."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:39:12.889828Z",
     "start_time": "2020-03-21T11:39:12.846798Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((7676, 84, 6), (7676, 1), (1000, 84, 6), (1000, 1))"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# for univeriate\n",
    "# here we take \"AvgRate\" as an example\n",
    "uni_target_col_indexes = [0]\n",
    "uni_target_value = \"AvgRate\"\n",
    "\n",
    "x_train, y_train = gen_dataset_matrix(scaled_train, look_back, uni_target_col_indexes)\n",
    "x_test, y_test = gen_dataset_matrix(scaled_test, look_back, uni_target_col_indexes)\n",
    "x_train.shape, y_train.shape, x_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* for _multivariate_ forecasting, we forecast `AvgRate` and `total` at the same time. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:39:13.298555Z",
     "start_time": "2020-03-21T11:39:13.239542Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((7676, 84, 7), (7676, 2), (1000, 84, 7), (1000, 2))"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# for multivariate\n",
    "multi_target_col_indexes = [0, 1]\n",
    "multi_target_value = [\"AvgRate\",\"total\"]\n",
    "\n",
    "x_train_m, y_train_m = gen_dataset_matrix(scaled_train, look_back, multi_target_col_indexes)\n",
    "x_test_m, y_test_m = gen_dataset_matrix(scaled_test, look_back, multi_target_col_indexes)\n",
    "x_train_m.shape, y_train_m.shape, x_test_m.shape, y_test_m.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Time series forecasting "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Univariate forecasting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For univariate forcasting, we use LSTMForecaster for forecasting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:39:14.973727Z",
     "start_time": "2020-03-21T11:39:13.861565Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Logging before flag parsing goes to stderr.\n",
      "W0426 11:05:07.672919 4458261952 module_wrapper.py:139] From /Users/yushan/sources/analytics-zoo/pyzoo/zoo/tfpark/zoo_optimizer.py:27: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from zoo.zouwu.model.forecast.lstm_forecaster import LSTMForecaster"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we initiate a LSTMForecaster. \n",
    "* `feature_dim` should match the training data input feature, so we just use the last dimension of train data shape. \n",
    "* `target_dim` equals the variate num we want to predict. We set target_dim=1 for univariate forecasting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:39:15.260788Z",
     "start_time": "2020-03-21T11:39:14.975221Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W0426 11:05:07.729089 4458261952 deprecation.py:506] From /Users/yushan/anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "If using Keras pass *_constraint arguments to layers.\n"
     ]
    }
   ],
   "source": [
    "# build model\n",
    "lstm_config = {\"lstm_units\": [32] * 2, \"lr\":0.001}\n",
    "forecaster = LSTMForecaster(target_dim=1, feature_dim=x_train.shape[-1], **lstm_config)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we use fit to train the model. Wait sometime for it to finish."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:41:29.251846Z",
     "start_time": "2020-03-21T11:39:15.261912Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W0426 11:05:08.290032 4458261952 deprecation.py:323] From /Users/yushan/anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/ops/math_grad.py:1424: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n",
      "W0426 11:05:09.108528 4458261952 backend.py:548] OMP_NUM_THREADS is no longer used by the default Keras config. To configure the number of threads, use tf.config.threading APIs.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 7676 samples\n",
      "Epoch 1/50\n",
      "7676/7676 [==============================] - 4s 512us/sample - loss: 0.9379 - mean_squared_error: 0.9379\n",
      "Epoch 2/50\n",
      "7676/7676 [==============================] - 3s 366us/sample - loss: 0.8336 - mean_squared_error: 0.8336\n",
      "Epoch 3/50\n",
      "7676/7676 [==============================] - 3s 349us/sample - loss: 0.7556 - mean_squared_error: 0.7556\n",
      "Epoch 4/50\n",
      "7676/7676 [==============================] - 3s 348us/sample - loss: 0.6553 - mean_squared_error: 0.6553\n",
      "Epoch 5/50\n",
      "7676/7676 [==============================] - 3s 356us/sample - loss: 0.5319 - mean_squared_error: 0.5319\n",
      "Epoch 6/50\n",
      "7676/7676 [==============================] - 3s 366us/sample - loss: 0.4112 - mean_squared_error: 0.4112\n",
      "Epoch 7/50\n",
      "7676/7676 [==============================] - 3s 366us/sample - loss: 0.3359 - mean_squared_error: 0.3359\n",
      "Epoch 8/50\n",
      "7676/7676 [==============================] - 3s 365us/sample - loss: 0.3031 - mean_squared_error: 0.3031\n",
      "Epoch 9/50\n",
      "7676/7676 [==============================] - 3s 354us/sample - loss: 0.2857 - mean_squared_error: 0.2857\n",
      "Epoch 10/50\n",
      "7676/7676 [==============================] - 3s 357us/sample - loss: 0.2604 - mean_squared_error: 0.2604\n",
      "Epoch 11/50\n",
      "7676/7676 [==============================] - 3s 353us/sample - loss: 0.2479 - mean_squared_error: 0.2479\n",
      "Epoch 12/50\n",
      "7676/7676 [==============================] - 3s 355us/sample - loss: 0.2319 - mean_squared_error: 0.2319\n",
      "Epoch 13/50\n",
      "7676/7676 [==============================] - 3s 346us/sample - loss: 0.2148 - mean_squared_error: 0.2148\n",
      "Epoch 14/50\n",
      "7676/7676 [==============================] - 3s 342us/sample - loss: 0.2058 - mean_squared_error: 0.2058\n",
      "Epoch 15/50\n",
      "7676/7676 [==============================] - 3s 352us/sample - loss: 0.1975 - mean_squared_error: 0.1975\n",
      "Epoch 16/50\n",
      "7676/7676 [==============================] - 3s 349us/sample - loss: 0.1875 - mean_squared_error: 0.1875\n",
      "Epoch 17/50\n",
      "7676/7676 [==============================] - 3s 341us/sample - loss: 0.1781 - mean_squared_error: 0.1781\n",
      "Epoch 18/50\n",
      "7676/7676 [==============================] - 3s 346us/sample - loss: 0.1744 - mean_squared_error: 0.1744\n",
      "Epoch 19/50\n",
      "7676/7676 [==============================] - 3s 342us/sample - loss: 0.1724 - mean_squared_error: 0.1724\n",
      "Epoch 20/50\n",
      "7676/7676 [==============================] - 3s 345us/sample - loss: 0.1653 - mean_squared_error: 0.1653\n",
      "Epoch 21/50\n",
      "7676/7676 [==============================] - 3s 344us/sample - loss: 0.1621 - mean_squared_error: 0.1621\n",
      "Epoch 22/50\n",
      "7676/7676 [==============================] - 3s 341us/sample - loss: 0.1607 - mean_squared_error: 0.1607\n",
      "Epoch 23/50\n",
      "7676/7676 [==============================] - 3s 347us/sample - loss: 0.1547 - mean_squared_error: 0.1547\n",
      "Epoch 24/50\n",
      "7676/7676 [==============================] - 3s 351us/sample - loss: 0.1539 - mean_squared_error: 0.1539\n",
      "Epoch 25/50\n",
      "7676/7676 [==============================] - 3s 347us/sample - loss: 0.1485 - mean_squared_error: 0.1485\n",
      "Epoch 26/50\n",
      "7676/7676 [==============================] - 3s 353us/sample - loss: 0.1470 - mean_squared_error: 0.1470\n",
      "Epoch 27/50\n",
      "7676/7676 [==============================] - 3s 347us/sample - loss: 0.1453 - mean_squared_error: 0.1453\n",
      "Epoch 28/50\n",
      "7676/7676 [==============================] - 3s 346us/sample - loss: 0.1386 - mean_squared_error: 0.1386\n",
      "Epoch 29/50\n",
      "7676/7676 [==============================] - 3s 349us/sample - loss: 0.1392 - mean_squared_error: 0.1392\n",
      "Epoch 30/50\n",
      "7676/7676 [==============================] - 3s 346us/sample - loss: 0.1347 - mean_squared_error: 0.1347\n",
      "Epoch 31/50\n",
      "7676/7676 [==============================] - 3s 346us/sample - loss: 0.1314 - mean_squared_error: 0.1314\n",
      "Epoch 32/50\n",
      "7676/7676 [==============================] - 3s 349us/sample - loss: 0.1338 - mean_squared_error: 0.1338\n",
      "Epoch 33/50\n",
      "7676/7676 [==============================] - 3s 351us/sample - loss: 0.1328 - mean_squared_error: 0.1328\n",
      "Epoch 34/50\n",
      "7676/7676 [==============================] - 3s 358us/sample - loss: 0.1296 - mean_squared_error: 0.1296\n",
      "Epoch 35/50\n",
      "7676/7676 [==============================] - 3s 350us/sample - loss: 0.1301 - mean_squared_error: 0.1301\n",
      "Epoch 36/50\n",
      "7676/7676 [==============================] - 3s 344us/sample - loss: 0.1277 - mean_squared_error: 0.1277\n",
      "Epoch 37/50\n",
      "7676/7676 [==============================] - 3s 348us/sample - loss: 0.1262 - mean_squared_error: 0.1262\n",
      "Epoch 38/50\n",
      "7676/7676 [==============================] - 3s 345us/sample - loss: 0.1256 - mean_squared_error: 0.1256\n",
      "Epoch 39/50\n",
      "7676/7676 [==============================] - 3s 351us/sample - loss: 0.1226 - mean_squared_error: 0.1226\n",
      "Epoch 40/50\n",
      "7676/7676 [==============================] - 3s 344us/sample - loss: 0.1242 - mean_squared_error: 0.1242\n",
      "Epoch 41/50\n",
      "7676/7676 [==============================] - 3s 347us/sample - loss: 0.1196 - mean_squared_error: 0.1196\n",
      "Epoch 42/50\n",
      "7676/7676 [==============================] - 3s 345us/sample - loss: 0.1203 - mean_squared_error: 0.1203\n",
      "Epoch 43/50\n",
      "7676/7676 [==============================] - 3s 350us/sample - loss: 0.1183 - mean_squared_error: 0.1183\n",
      "Epoch 44/50\n",
      "7676/7676 [==============================] - 3s 345us/sample - loss: 0.1174 - mean_squared_error: 0.1174\n",
      "Epoch 45/50\n",
      "7676/7676 [==============================] - 3s 356us/sample - loss: 0.1165 - mean_squared_error: 0.1165\n",
      "Epoch 46/50\n",
      "7676/7676 [==============================] - 3s 352us/sample - loss: 0.1149 - mean_squared_error: 0.1149\n",
      "Epoch 47/50\n",
      "7676/7676 [==============================] - 3s 363us/sample - loss: 0.1167 - mean_squared_error: 0.1167\n",
      "Epoch 48/50\n",
      "7676/7676 [==============================] - 3s 349us/sample - loss: 0.1140 - mean_squared_error: 0.1140\n",
      "Epoch 49/50\n",
      "7676/7676 [==============================] - 3s 352us/sample - loss: 0.1117 - mean_squared_error: 0.1117\n",
      "Epoch 50/50\n",
      "7676/7676 [==============================] - 3s 358us/sample - loss: 0.1133 - mean_squared_error: 0.1133\n",
      "CPU times: user 5min 13s, sys: 1min 45s, total: 6min 59s\n",
      "Wall time: 2min 17s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "forecaster.fit(x=x_train, y=y_train, batch_size=1024, epochs=50, distributed=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After training is finished. You can use the forecaster to do prediction and evaluation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:41:29.688706Z",
     "start_time": "2020-03-21T11:41:29.253614Z"
    }
   },
   "outputs": [],
   "source": [
    "# make prediction\n",
    "y_pred = forecaster.predict(x_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since we have used standard scaler to scale the input data (including the target values), we need to inverse the scaling on the predicted values too. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:41:29.692989Z",
     "start_time": "2020-03-21T11:41:29.690681Z"
    }
   },
   "outputs": [],
   "source": [
    "y_pred_unscale = unscale(standard_scaler, y_pred, uni_target_col_indexes)\n",
    "y_test_unscale = unscale(standard_scaler, y_test, uni_target_col_indexes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "calculate the symetric mean absolute percentage error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:41:29.790267Z",
     "start_time": "2020-03-21T11:41:29.694053Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sMAPE is 8.441626722957785\n",
      "mean_squared error is 5536.712494719992\n"
     ]
    }
   ],
   "source": [
    "# evaluate with sMAPE\n",
    "print(\"sMAPE is\", sMAPE(y_test_unscale, y_pred_unscale))\n",
    "# evaluate with mean_squared_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "print(\"mean_squared error is\", mean_squared_error(y_test_unscale, y_pred_unscale))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### multivariate forecasting "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For multivariate forecasting, we use MTNetForecaster for forecasting. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:41:30.107194Z",
     "start_time": "2020-03-21T11:41:30.105366Z"
    }
   },
   "outputs": [],
   "source": [
    "from zoo.zouwu.model.forecast.mtnet_forecaster import MTNetForecaster"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we initialize a mtnet_forecaster according to input data shape. The lookback length is equal to `(long_series_num+1)*series_length` Details refer to [zouwu docs](https://github.com/intel-analytics/analytics-zoo/tree/master/pyzoo/zoo/zouwu)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:41:43.721239Z",
     "start_time": "2020-03-21T11:41:30.108281Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W0426 11:07:26.209068 4458261952 deprecation.py:506] From /Users/yushan/anaconda3/envs/automl/lib/python3.6/site-packages/tensorflow_core/python/keras/initializers.py:94: calling TruncatedNormal.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Call initializer instance with the dtype argument instead of passing it to the constructor\n",
      "/Users/yushan/anaconda3/envs/automl/lib/python3.6/site-packages/dask/dataframe/utils.py:15: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
      "  import pandas.util.testing as tm\n"
     ]
    }
   ],
   "source": [
    "mtnet_forecaster = MTNetForecaster(target_dim=y_train_m.shape[-1],\n",
    "                        feature_dim=x_train_m.shape[-1],\n",
    "                        long_series_num=6,\n",
    "                        series_length=12,\n",
    "                        ar_window_size=6,\n",
    "                        cnn_height=4\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MTNet needs to preprocess the X into another format, so we call `MTNetForecaster.preprocess_input` on train_x and test_x."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:41:43.724360Z",
     "start_time": "2020-03-21T11:41:43.722479Z"
    }
   },
   "outputs": [],
   "source": [
    "# mtnet requires reshape of input x before feeding into model.\n",
    "x_train_mtnet = mtnet_forecaster.preprocess_input(x_train_m)\n",
    "x_test_mtnet = mtnet_forecaster.preprocess_input(x_test_m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we train the model and wait till it finished. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:45:42.618699Z",
     "start_time": "2020-03-21T11:41:43.725466Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 7676 samples\n",
      "Epoch 1/20\n",
      "7676/7676 [==============================] - 29s 4ms/sample - loss: 0.8927 - mean_squared_error: 1.2406\n",
      "Epoch 2/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.7957 - mean_squared_error: 1.0574\n",
      "Epoch 3/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.7176 - mean_squared_error: 0.9697\n",
      "Epoch 4/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.6583 - mean_squared_error: 0.8638\n",
      "Epoch 5/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.6067 - mean_squared_error: 0.7385\n",
      "Epoch 6/20\n",
      "7676/7676 [==============================] - 27s 4ms/sample - loss: 0.5578 - mean_squared_error: 0.6528\n",
      "Epoch 7/20\n",
      "7676/7676 [==============================] - 20s 3ms/sample - loss: 0.5170 - mean_squared_error: 0.5675\n",
      "Epoch 8/20\n",
      "7676/7676 [==============================] - 17s 2ms/sample - loss: 0.4802 - mean_squared_error: 0.4850\n",
      "Epoch 9/20\n",
      "7676/7676 [==============================] - 18s 2ms/sample - loss: 0.4489 - mean_squared_error: 0.4134\n",
      "Epoch 10/20\n",
      "7676/7676 [==============================] - 17s 2ms/sample - loss: 0.4204 - mean_squared_error: 0.3488\n",
      "Epoch 11/20\n",
      "7676/7676 [==============================] - 17s 2ms/sample - loss: 0.3967 - mean_squared_error: 0.3138\n",
      "Epoch 12/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.3756 - mean_squared_error: 0.2763\n",
      "Epoch 13/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.3576 - mean_squared_error: 0.2420\n",
      "Epoch 14/20\n",
      "7676/7676 [==============================] - 17s 2ms/sample - loss: 0.3398 - mean_squared_error: 0.2178\n",
      "Epoch 15/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.3257 - mean_squared_error: 0.2011\n",
      "Epoch 16/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.3178 - mean_squared_error: 0.1898\n",
      "Epoch 17/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.3050 - mean_squared_error: 0.1769\n",
      "Epoch 18/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.3016 - mean_squared_error: 0.1746\n",
      "Epoch 19/20\n",
      "7676/7676 [==============================] - 17s 2ms/sample - loss: 0.2917 - mean_squared_error: 0.1611\n",
      "Epoch 20/20\n",
      "7676/7676 [==============================] - 16s 2ms/sample - loss: 0.2840 - mean_squared_error: 0.1546\n",
      "CPU times: user 14min 40s, sys: 5min 6s, total: 19min 46s\n",
      "Wall time: 6min 10s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "hist = mtnet_forecaster.fit(x = x_train_mtnet, y = y_train, batch_size=1024, epochs=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the model for prediction and inverse the scaling of the prediction results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:45:45.417277Z",
     "start_time": "2020-03-21T11:45:42.619964Z"
    }
   },
   "outputs": [],
   "source": [
    "y_pred_m = mtnet_forecaster.predict(x_test_mtnet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:45:45.421167Z",
     "start_time": "2020-03-21T11:45:45.418746Z"
    }
   },
   "outputs": [],
   "source": [
    "y_pred_m_unscale = unscale(standard_scaler, y_pred_m, multi_target_col_indexes)\n",
    "y_test_m_unscale = unscale(standard_scaler, y_test_m, multi_target_col_indexes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:45:45.522364Z",
     "start_time": "2020-03-21T11:45:45.422429Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sMAPE is [10.91735154  9.66272596]\n",
      "mean squared error is [9.52242322e+03 5.49956707e+21]\n"
     ]
    }
   ],
   "source": [
    "# evaluate with sMAPE\n",
    "print(\"sMAPE is\",sMAPE(y_pred_m_unscale, y_test_m_unscale, multioutput=\"raw_values\"))\n",
    "# evaluate with mean_squared_error\n",
    "print(\"mean squared error is\", mean_squared_error(y_test_m_unscale, y_pred_m_unscale, multioutput=\"raw_values\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "plot actual and prediction values for `AvgRate` KPI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:45:45.862005Z",
     "start_time": "2020-03-21T11:45:45.523587Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_date=df[-test_num:].index\n",
    "plot_predict_actual_values(test_date, y_pred_m_unscale[:,0], y_test_m_unscale[:,0], ylabel=multi_target_value[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "plot actual and prediction values for `total bytes` KPI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-21T11:45:46.108128Z",
     "start_time": "2020-03-21T11:45:45.863289Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_predict_actual_values(test_date, y_pred_m_unscale[:,1], y_test_m_unscale[:,1], ylabel=multi_target_value[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}